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Application of Voice Recognition Technology for Early Detection of Respiratory Disorders in Premature Babies Setyorini, Dhiana; Zani, Benny Novico; Rasmita, Dina; Cendekiawan, Khrisna Agung; Vandika, Arnes Yuli
Journal of World Future Medicine, Health and Nursing Vol. 2 No. 2 (2024)
Publisher : Yayasan Pendidikan Islam Daarut Thufulah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/health.v2i2.758

Abstract

Bayi prematur memiliki risiko tinggi mengalami gangguan pernafasan yang berpotensi mengancam nyawa yang dapat berujung pada komplikasi atau permasalahan yang serius atau bahkan kematian jika tidak dideteksi secara tepat waktu. Untuk itu diterapkanlah sebuah teknologi pengenalan suara dagar dapat mengidentifikasi gangguan pernapsan yang terjadi pada bayi premature. Tujuan dari penelitian ini adalah untuk mengembangkan sistem yang dapat mengenali pola suara khas yang terkait dengan gangguan pernafasan pada bayi prematur. Dengan memanfaatkan teknologi ini, diharapkan dapat meningkatkan kemampuan deteksi dini gangguan pernafasan pada bayi prematur, sehingga memungkinkan intervensi medis yang lebih cepat dan tepat. Metode penelitian melibatkan pengumpulan data suara respirasi dari bayi prematur menggunakan mikrofon yang dipasang di sekitar inkubator mereka, diikuti oleh analisis menggunakan teknik pengolahan sinyal digital dan algoritma pembelajaran mesin. Hasil penelitian menunjukkan bahwa sistem yang dikembangkan mampu mengidentifikasi pola suara yang menunjukkan tanda-tanda gangguan pernafasan dengan tingkat akurasi yang tinggi yang di alami oleh bayi permatur. Hal ini didukung oleh data validasi yang menunjukkan bahwa sistem berhasil mendeteksi sebagian besar kasus gangguan pernafasan pada bayi permatur.Kesimpulan dari penelitian ini adalah bahwa teknologi pengenalan suara memiliki potensi besar sebagai alat deteksi dini gangguan pernafasan pada bayi prematur, yang dapat membantu tenaga medis dalam memberikan perawatan yang tepat waktu dan mengurangi risiko komplikasi serius. Dengan demikian, penerapan teknologi ini di lingkungan klinis dapat meningkatkan prognosis dan kelangsungan hidup bayi prematur yang rentan.
Use of Mobile Applications for Monitoring Adolescent Mental Health Rahayu, Tri Budi; Supriyanti, Supriyanti; Kasim, Jamila; Munazar, Munazar; Vandika, Arnes Yuli
Journal of World Future Medicine, Health and Nursing Vol. 2 No. 2 (2024)
Publisher : Yayasan Pendidikan Islam Daarut Thufulah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/health.v2i2.761

Abstract

Teenage mental health is becoming increasingly important in this modern era. However, the issue of accessibility to mental health services remains a significant obstacle. The use of mobile applications offers a potential solution to improve monitoring and intervention in adolescent mental health. This study aims to explore the effectiveness of using mobile applications in monitoring adolescents' mental health, as well as its impact on their quality of life. This study used a quantitative approach with a survey conducted on a sample of adolescents aged 13-18 years who used a mental health mobile application for six months. Data was collected regarding frequency of app use, changes in levels of anxiety and depression, and user perceptions of the app's benefits. The results of this study show that the use of mobile applications significantly reduces levels of anxiety and depression in adolescents. Additionally, users report improvements in emotion management skills and knowledge about mental health. The majority of respondents also felt comfortable and helped by the application features in managing daily stress. The conclusion of this study explains that using mobile applications for monitoring adolescent mental health has great potential to increase the accessibility and effectiveness of mental health services. This application can be an effective tool in providing support, education and intervention to teenagers in managing their mental health problems. Thus, the implementation of mobile applications in the context of adolescent mental health needs to be considered as part of a comprehensive strategy to improve adolescent well-being.
Pendampingan dan Pelatihan Metode Stoisisme Untuk Menurunkan Stres Dalam Merawat Lansia Demensia Sima, Yenny; Puspitarini, Nurul Aisyiyah; Rahmat, Rezqiqah Aulia; Mulia, Madepan; Hastutiningtyas, Wahidyanti Rahayu; Vandika, Arnes Yuli
Sahabat Sosial: Jurnal Pengabdian Masyarakat Vol. 2 No. 4 (2024): Sahabat Sosial: Jurnal Pengabdian Masyarakat (September)
Publisher : Asosiasi Guru dan Dosen Seluruh Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59585/sosisabdimas.v2i4.480

Abstract

The concept of Stoicism has a main principle, namely living in harmony with nature that prioritizes reason or rationality. Islam highly values ​​the role of reason such as the teachings of Stoicism. Reason in Islam plays a very important role in increasing a person's level of faith and is one of the steps to gain peace of mind. The purpose of this PkM is to achieve happiness, peace, freedom from destructive emotions and control over desires. The therapy that is usually given to reduce stress basically has the principle of relaxation. The Method of Implementing Stoicism Stop-Think and Assess-Respon with focus group discussions and counseling methods. The results show that training and implementing the Stoicism method using the Stop-Think and Assess-Respon technique has an influence on changes in attitudes and behavior towards stress assessment in caring for elderly dementia. The evaluation of the results showed that the client understood dementia and how to treat it, and the participants understood and were able to carry out the Stop-Think and Assess-Respon method in solving their psychological problems.
Pendampingan dalam Simulasi dan Peningkatan Pengetahuan Siswa Siswi Tentang Patah Tulang Noor, Mohammad Arifin; Ansar, Ansar; Vandika, Arnes Yuli; Pannyiwi, Rahmat; Dunggio, Abdul Rivai Saleh; Saputra, M. Khalid Fredy
Sahabat Sosial: Jurnal Pengabdian Masyarakat Vol. 2 No. 4 (2024): Sahabat Sosial: Jurnal Pengabdian Masyarakat (September)
Publisher : Asosiasi Guru dan Dosen Seluruh Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59585/sosisabdimas.v2i4.487

Abstract

Fracture is defined as a broken bone caused by trauma or physical force, and can occur due to excessive pressure compared to the bone's ability to withstand pressure. Injuries due to accidents in the school environment generally occur in the musculoskeletal system and must be treated quickly and appropriately. If not, it will cause more severe injuries and can trigger bleeding. To prevent injury to the musculoskeletal system, splint bandages are needed through Education. The purpose of this Community Service is to Assist and Improve Students' Knowledge About Bone Fractures with Simulation and as a learning that can determine the level of success of students in carrying out cardiopulmonary respiratory training in improving knowledge and skills. The health education method on fracture handling simulations so that students are able to make efforts to prevent disability and complications due to fractures and enable students to carry out initial examinations and initial treatment for fracture victims. The results of this activity received a good response from students as the target of community service activities. The conclusion that the implementation of community service followed by students showed an increase from sufficient knowledge to good knowledge. However, there needs to be monitoring and providing other materials so that it can motivate students to be more active and know about emergency handling.
The Role of Artificial Intelligence in the Development of Digital Era Educational Progress Baso Intang Sappaile; Arnes Yuli Vandika; Much Deiniatur; Nuridayanti Nuridayanti; Opan Arifudin
Journal of Artificial Intelligence and Development Vol. 3 No. 1 (2024): AI Development
Publisher : Edujavare Publishing

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Abstract

In recent years, the transformative impact of artificial intelligence (AI) on educational progress in the digital era has been revealed. This research aims to explain how AI can revolutionize the educational landscape, driving inclusivity, equality, and innovation. This research method uses a qualitative approach and a multilateral approach which includes theoretical analysis and empirical findings. This research explains the role of AI in personalized learning, accessibility, educator empowerment, and ethical considerations. These findings reveal the potential for AI to enhance the learning experience by providing customized content, encouraging inclusivity through flexible learning modalities, and empowering educators with actionable insights. However, ethical issues such as data privacy and algorithmic bias require careful consideration. The study concludes with recommendations for future research, advocating further exploration of the efficacy of AI in addressing specific educational challenges and interdisciplinary collaboration to inform the responsible integration of AI in education, ultimately paving the way for a more equitable and innovative educational landscape in the digital world. era.
Utilization AI for Socially Responsive Education as a Path to Inclusive Development Loso Judijanto; M. Anwar Aini; Asfahani Asfahani; Zohaib Hassan Sain; Arnes Yuli Vandika
Journal of Artificial Intelligence and Development Vol. 1 No. 2 (2022): AI Development
Publisher : Edujavare Publishing

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Abstract

The integration of Artificial Intelligence (AI) into educational practices has garnered increasing attention as a potential pathway to fostering inclusive development. This study investigates the utilization of AI for socially responsive education, aiming to explore its opportunities, challenges, and implications for promoting inclusivity in educational settings. Through qualitative research methods including interviews, focus groups, and document analysis, key findings emerge highlighting the potential of AI to personalize learning experiences and expand access to education, particularly in underserved communities. However, the study also identifies concerns regarding algorithmic bias, the digital divide, and ethical considerations, emphasizing the need for collaborative efforts among stakeholders to ensure the responsible and equitable deployment of AI technologies in education. The analysis of research findings contributes to a nuanced understanding of the complex dynamics surrounding AI in education and underscores the importance of advancing inclusive development agendas through the strategic integration of AI into educational practices.
A Comprehensive Review of the Transformative Impact of Artificial Intelligence on Sustainable Development Sri Widiastuti; Loso Judijanto; Tanwir Tanwir; Arnes Yuli Vandika; Abdul Muid Fabanyo
Journal of Artificial Intelligence and Development Vol. 1 No. 2 (2022): AI Development
Publisher : Edujavare Publishing

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Abstract

This comprehensive review article examines the transformative impact of Artificial Intelligence (AI) on Sustainable Development, covering diverse sectors such as environmental conservation, energy efficiency, healthcare, and socio-economic inclusion. The integration of AI technologies has the potential to revolutionize traditional practices and contribute significantly to achieving sustainable development goals. The primary objective is to comprehensively analyze AI's transformative impact across various domains of sustainable development, highlighting key applications, challenges, and future trends. The research methodology involves a Systematic Literature Review (SLR) approach, encompassing a structured search, selection, and analysis of relevant scholarly articles, reports, and studies on AI and sustainable development. The findings reveal that AI is crucial in environmental monitoring, energy optimization, healthcare innovation, and socio-economic inclusion. However, ethical considerations, data privacy, and regulatory frameworks are essential aspects to address for responsible AI deployment in sustainable development initiatives.
Ethical Considerations in the Development and Application of Artificial Intelligence for Social and Economic Progress Loso Judijanto; Jackson Yumame; Tanwir Tanwir; Gusma Afriani; Arnes Yuli Vandika
Journal of Artificial Intelligence and Development Vol. 1 No. 1 (2022): AI Development
Publisher : Edujavare Publishing

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Abstract

This study investigates the ethical considerations surrounding the development and application of artificial intelligence (AI) for social and economic progress. This research aims to analyze the impact of AI on fairness, transparency, accountability, privacy, and social outcomes. The research method uses a systematic literature review (SLR) to collect and synthesize relevant findings from previous research and theoretical frameworks. The data is collected, and the data analysis technique used in the SLR method is to carry out stages such as study selection, evaluation of study quality, extraction of relevant data, and synthesis of findings from the selected studies. This research results in the importance of mitigating bias, increasing transparency and accountability, protecting privacy and data, and evaluating the social impact of AI. In conclusion, this research underscores the critical need for ethical frameworks and regulations to guide AI's responsible development and deployment to drive equitable and beneficial social and economic progress.
21st Century Economic Transformation: The Impact of Artificial Intelligence on Markets and Employment Loso Judijanto; Asfahani Asfahani; Arnes Yuli Vandika
Journal of Artificial Intelligence and Development Vol. 1 No. 1 (2022): AI Development
Publisher : Edujavare Publishing

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Abstract

Artificial intelligence (AI) has transformed the 21st-century economy, shaping markets and employment. This study aims to investigate the impact of AI on the market and employment. This research uses a qualitative approach, which takes data through observation and interview techniques. In contrast, the data analysis technique uses the Miles Humbermen model through data presentation, reduction, and conclusion. This research reveals that although AI increases efficiency and productivity, it also causes job displacement and requires upskilling efforts and new skills. Additionally, AI drives the emergence of new sectors and raises ethical and regulatory challenges that must be overcome for sustainable economic development.
KECERDASAN BUATAN SEBAGAI MITRA DALAM PENILAIAN DAN EVALUASI PENDIDIKAN Alim Hardiansyah; Rosmawati Harahap; Arnes Yuli Vandika
Jurnal Ilmu Pendidikan dan Kearifan Lokal Vol. 4 No. 5 (2024): OKTOBER
Publisher : CV. ADIBA ASIHA AMIRA

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Abstract

Artificial Intelligence (AI) has emerged as a transformative technology in various fields, including education. AI offers significant capabilities in analysing large-scale data, providing real-time feedback, and tailoring assessments to students' individual needs. The research method used literature. The results showed that the integration of AI in educational assessment requires a balanced approach that blends the analytical power of AI with human judgement. In conclusion, AI has the potential to increase the effectiveness and personalisation of educational assessment, but its implementation must be done with careful ethical considerations and focus on enhancing, not replacing, the role of educators in the evaluation process.
Co-Authors - Afrizal Abdul Muid Fabanyo Achmad Choerudin Ade Kurniawan Ade Kurniawan Ade Suhara Adnan, Ahmad Zaelani Afen Prana Utama Sembiring Afrizal Afrizal Agus Mukholid Agustina, Dian Resha Ahmad Cucus Ahmad Nur Budi Utama Ahmad Zaelani Adnan Ainun Jariyah Akhtar, Shazia Aldo, Novian Aldo, Novian Ali, Zainab Alim Hardiansyah Ambarwati, Rini Amelia S. Sarungallo Andi Naila Quin Azisah Aliasyahbana andrew shandy utama, andrew shandy Anggeraeni, Anggeraeni Anggun Nugroho Anggun Nugroho, Anggun Ansar Ansar Anwar, Wahyuni Aprian, Syawal Archristhea Amahoru, Archristhea Ardiana Batubara Ardiyanto Saleh Modjo Arfah, Andi Ari Kurniawan Saputra ARIEF BUDI PRATOMO Arief Yanto Rukmana Arif Mudi Priyatno Arifudin, Opan Aris Triwiyatno Aris Triwiyatno Arnadi Arnadi Asfahani Asfahani Aslam, Annisa Paramaswary Aslam, Bilal Aslan Aslan Astutik, Wahyuni Sri Bambang Prihantoro Nugroho Bambang Winardi Bambang Winardi Baso Intang Sappaile Basri, T Saiful Basri, T. Saiful Batubara, Ana Uzla Bekti Setiadi Bekti Utomo Bilondato, Nikma Chatarina Umbul Wahyuni Chevy Herli Sumerli Dadang Muhammad Hasyim Debi Herlina Meilani Debi Herlina Meilani Deddy Hidayat Devi Rahmah Sope Dewantara, Rizki Dewantara, Rizki Dewi Endah Fajariana, Dewi Endah Dian Resha Agustina Dina Ika Wahyuningsih Dora, Mechi Silvia Dunggio, Abdul Rivai Saleh Dwi Aris Nurohman Effendy, Femmy Eka Imama Novita Sari Eka Imama Novita Sari Eka Imama Novita Sari Eka Imama Novita Sari Eka Imama Novitasari Eko Sudarmanto Endrianto , Endrixs Endrixs Endrianto Fadhilah, St. Annisa Nurul Fahrijal, Rival Faiz Muqorrir Kaaffah Farida Arinie Soelistianto Faridah Faridah Faridah Faridah Fenty Ariani Feriyanti, Yang Gusti Fildansyah, Rully Fitriani.K, Fitriani.K Frans Sudirjo Frans Sudirjo Fujita, Miku Gilang Pranajasakti Guntur Arie Wibowo Gusma Afriani Guterres, Juvinal Ximenes Hakim, Nur Hamzah, Abd Natsir Hamzali, Said Handy Widjaya Hanifah Nurul Muthmainah Hannan Fadlurahman Harahap, Nur Afifah Harsya, Rabith Madah Khulaili Hazmi, Muhammad Helta Anggia Hendri Khuan Heri Aji Setiawan Hermansyah Hermansyah Hery Widijanto Hidayat, Deddy Hildawati Hildawati Hildawati, Hildawati Htwe, Thandar Husain Nurisman I Putu Dody Suarnatha I Wayan Adi Pratama Ikhwanto Asri Ilham Ilham Ilham Ilham Iqbal, Kiran Ismail, Rima Ruktiari Jackson Yumame Jasmin Jasmin Jasmin, Jasmin Jatmiko Wahyu Nugroho Jauhari, Burhanuddin Joko Santoso Joko Santoso Judijanto, Loso K, Hairuddin Kasim, Jamila Kasmudin Mustapa Khrisna Agung Cendekiawan Khuan, Hendri Kirana, Sukma Ayu Candra Lan, Tran Thi Latifah Latifah Legito Lesmana, Tera Lestari Wuryanti Linm, Sofia Lola Yustrisia Loso Judijanto Loso Judijanto Luckhy Natalia Anastasye Lotte Lucky Mahesa Yahya M. Ammar Muhtadi M. Anwar Aini Made Susilawati Made Susilawati Manalu, Margareta Margareta Manalu Markus Wibowo Marwah Mayasari, Nanny Mei Rani Amalia Merakati, Indah Mislan Sihite, Mislan Moeis, Dikwan Mohammad Arifin Noor Much Deiniatur Muh Arnesta Arnanda Muh Reza Abdillah Muhammad Bitrayoga Muhammad Hazmi MUHAMMAD LUTFI Muhammad Mustofa Muhammad Syafri Muhammad Syafri, Muhammad Muhammad Syarif Hartawan Muhammadong Muhammadong Muhtadi, M. Ammar Mulia, Madepan Munazar Munazar Muthmainah, Hanifah Nurul Nam, Le Hoang Nampira, Ardi Azhar Nanny Mayasari Ni Desak Made Santi Diwyarthi Ningsih, Yunia Noning Verawati Novianty Djafri Novycha Auliafendri Nukman Nunung Suryana Jamin Nur Afiani, Rulan Nur Hakim Nuridayanti Nuridayanti Nurisman, Husain Nurlela, Lela Nurohman, Dwi Aris Nurul Aisyiyah Puspitarini Omar Ahmad Palupiningtyas, Dyah Pannyiwi, Rahmat Pasaribu, Daniel Peng, Nam Pertiwi, Triani Prata Pranajasakti, Gilang Pratama, I Wayan Adi Priyana, Yana Qudratullah, Fyzria Raden Mohamad Herdian Bhakti Radiah Ilham Rahman Rahmat, Rezqiqah Aulia Rahmi Setiawati Rasmita, Dina Rezki Fitriani Rifky , Sehan Rina Destiana Rith, Vicheka Rival Fahrijal Rizki Andita Noviar Rosmawati Harahap Rosmiati Rosmiati Rovanita Rama Rovanita Rama Rukmana, Arief Yanto Rulan Nur Afiani Rully Fildansyah Ruri Koesliandana Ruri Koesliandana Ruri Koesliandana Ruri Koesliandana Ruri Koesliandana Safarudin, Muhamad Sigid Sagena, Unggul Said Hamzali Samsul Arifin Samsul Arifin Santi Diwyarthi, Ni Desak Made Saputra, M. Khalid Fredy Sari, Nidia Wulan Sarungallo, Amelia S. Satya Arisena Hendrawan Sawaluddin Siregar Sayed Achmady Sehan Rifky Setiadi, Bekti Setiawan, Zunan setiawati, rahmi Setyorini, Dhiana SILVIA EKASARI Sima, Yenny Simarangkir, Manase Sahat H Soelistianto, Farida Arinie Sok, Vann Souisa, Wendy Sri Ariyanti Sri Widiastuti Sudarmanto, Eko Sudarmo Sudarmo sudarmo sudarmo Suhara, Ade Suharni Suharni Suharni Sumerli A., Chevy Herli Supriyanti Supriyanti Susanti Susanti Syafril Barus Syam Gunawan Syam Gunawan Syawal Aprian Tahir, Usman Tan, Ethan Tanaka, Kaito Tariq, Usman Tera Lesmana Thalib, Kiki Uniatri Thea Marisca Marbun B.N Tia Tanjung Tia Tanjung, Tia Titiek Rachmawati Titiek Rachmawati Toalib, Ramli Tri Budi Rahayu, Tri Budi Triyugo Winarko Triyugo Winarko, Triyugo Tu, Nguyen Minh Ummu Kalsum Unggul Sagena Upeka Mendis Usman Tahir Utama Sembiring, Afen Prana Utomo, Bekti Wahidyanti Rahayu Hastutiningtyas Wahyuni Sri Astutik Wardhani, Diky Wendy Souisa Wifasari, Septi Wijaya, Hamid Wiwin Susanty Wuryanti, Lestari Xiang, Yang Yamamoto, Sota Yana Priyana Yoga Dwi Goesty D.S Yulis, Dian Meiliani Yusuf Yusuf Zaenal Arief Zani, Benny Novico Zaw, Soe Thu Zhang Li Zohaib Hassan Sain Zulkifli Zulkifli Zulkifli Zulkifli Zunan Setiawan